Publié il y a 7 mois
AI Engineer - Banking Domain
@ Jay Analytix
Montréal, Québec
En bref
Jay Analytix is hiring a contract AI Engineer for a major Canadian bank to design and deliver production-grade machine learning and generative AI solutions. The role covers fraud detection, credit risk, regulatory compliance and customer analytics, with a 12-month renewable contract, hybrid work across Toronto, Montreal, Vancouver and Calgary, and an immediate start.
Responsabilités :
- Build and deploy ML and GenAI solutions for banking use cases
- Design LLM-based applications, including RAG pipelines
- Implement MLOps practices: versioning, CI/CD, monitoring
- Ensure compliance with OSFI, PIPEDA and governance frameworks
- Communicate model performance to technical and non-technical stakeholders
Résumé des exigences :
- 7+ years in AI/ML engineering, 3+ in banking or financial services
- Advanced Python with PyTorch or TensorFlow, Scikit-learn, Pandas
- Hands-on MLOps: MLflow, Kubeflow, Azure ML or SageMaker
- LLM/GenAI development with OpenAI, LangChain, RAG
- Knowledge of OSFI E-23, PIPEDA and explainable AI
Outils et compétences
Source et dates
Site carrière / système de candidatures · breezy
- Date publiée par l’employeur
- 2026-04-23
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-16
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 7 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English, French |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Jay Analytix
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We consume complexity and deliver simplicity!
Description complète de l’entreprise
Jay Analytix has been providing smart information technology solutions to its clients. With expertise in consulting services for management and technology, our professional advisors supplement client staff and deliver solutions for fast-moving business environments. We are specialized in providing 1. Setting up and managing Data platforms 2. App Development 3. Providing Business analytics and reporting 4. Web Development ... and other services.
- Abonnés LinkedIn
- 1 106
- Personnes associées sur LinkedIn
- 17
- Bureaux déclarés
- Windsor, Ontario N9E 0B2, CA
- Chennai, TamilNadu 600034, IN
- Toronto, Ontario M5B 2L7, CA
- Frisco, Texas 75033, US
- Hyderabad, Telangana 500089, IN
- Catégories d’activité
- Information Technology
- Consulting
- Data Management
- Enterprise Software
- Business Intelligence
- Cloud Computing
- Analytics
- Artificial Intelligence (AI)
- Machine Learning
- Staffing Agency
- Autres noms enregistrés
- Jay Analytix
- Jay Analytix Inc
- Spécialités
- Data Solutions
- Power BI
- MSBI
- App Development
- Azure
- Web Development
- Azure data factory
- Data warehousing
- Power BI pagination
- zoho CRM
- Zoho CRM Customization
- performance engineering
- ETL
- and AI/ML data solutions
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Jay Analytix has been providing smart information technology solutions to its clients. With expertise in consulting services for management and technology, our professional advisors supplement client staff and deliver solutions for fast-moving business environments. We are specialized in providing 1. Setting up and managing Data platforms 2. App Development 3. Providing Business analytics and reporting 4. Web…
| Champ | Valeur |
|---|---|
| Secteur | IT Services and IT Consulting |
| Taille | 11-50 employees |
| Siège social | Windsor, Ontario |
| Type d’organisation | Self-Owned |
| Spécialités | Data SolutionsPower BIMSBIApp DevelopmentAzureWeb DevelopmentAzure data factoryData warehousingPower BI paginationzoho CRM |
| Offres sur Jobsy | 11 |
| Voir la page |
Engagement | Contract — 12 months, renewable |
Domain | Banking & Financial Services |
Locations | Toronto, ON | Montreal, QC | Vancouver, BC | Calgary, AB |
Work Model | Hybrid |
Start | Immediate |
ABOUT THE ROLE
We are looking for an experienced AI Engineer to design and deliver production-grade machine learning and generative AI solutions within a major Canadian bank. You will work across fraud detection, credit risk, regulatory compliance, and customer analytics, partnering with data, engineering, and compliance teams to bring AI from prototype to production.
KEY RESPONSIBILITIES
- Build and deploy ML and GenAI solutions for banking use cases (fraud, AML, credit scoring, customer analytics).
- Design LLM-based applications including RAG pipelines and document intelligence for internal workflows.
- Implement MLOps best practices: model versioning, CI/CD, monitoring, and drift detection.
- Ensure compliance with OSFI model risk guidelines, PIPEDA/CPPA, and internal governance frameworks.
- Communicate model performance and business impact to technical and non-technical stakeholders.
MUST-HAVE
- 7+ years in AI/ML engineering, with 3+ years in banking or financial services.
- Advanced Python skills: PyTorch/TensorFlow, Scikit-learn, Pandas.
- Hands-on MLOps experience: MLflow, Kubeflow, Azure ML, or SageMaker.
- LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG architectures.
- Cloud proficiency: Azure (preferred), AWS, or GCP.
- Knowledge of OSFI E-23 model governance, PIPEDA, and explainable AI for audits.
- Experience with SQL and distributed data platforms (Spark, Databricks, or Snowflake).
GOOD TO HAVE
- Azure AI-102, AWS ML Specialty, or Google Professional ML Engineer certification.
- Exposure to IFRS 9, Basel III, or Open Banking frameworks.
- Experience with real-time ML inference (Kafka, Flink).
- Bilingual English/French (asset for Montreal).
- FRM or CFA designation as a complement to technical skills.
HOW TO APPLY
Submit your resume, preferred location, and available start date. Canadian work authorization required.
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.